Polykarpos Meladianos
Graph Learning · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Graph Learning — 19 citations into it
- Artificial Intelligence — 15 citations into it; #14,530 of 35,345 by trust here, #19,873 by citations
- Computer Vision and Pattern Recognition — 11 citations into it
- Molecular Biology — 7 citations into it
Whom Polykarpos Meladianos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karsten M. Borgwardt
- Nino Shervashidze
- S. V. N. Vishwanathan
- Chih-Jen Lin
- Bernhard Schölkopf
- Pinar Yanardag
- Pierre Mahé
- Fredrik D. Johansson
- Kristen Grauman
- Svetlana Lazebnik
Who trusts Polykarpos Meladianos overall
Papers from Polykarpos Meladianos's perspective
Ordered by how strongly the researchers Polykarpos Meladianos trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Degeneracy Framework for Graph Similarity (2018) — 80 citations
- Matching Node Embeddings for Graph Similarity (2017) — 219 citations